Electronic Preprints

There are currently 2 electronic preprints awaiting publication. They are listed below in reverse chronological order.

2026

Title: Contrasting impurity-induced magnetism and dynamics in 2H-MoTe₂
Author: J. A. Krieger, I. P. Rusinov, S. Barua, A. Chatzichristos, J. Croese, D. Fujimoto, S. Holenstein, V. L. Karner, R. M. L. McFadden, J. O. Ticknor, W. A. MacFarlane, R. F. Kiefl, G. Balakrishnan, E. V. Chulkov, S. S. P. Parkin, Z. Salman
Abstract: We investigate the behavior of interstitial ⁸Li⁺ implanted near the surface of 2H-MoTe₂ using β-detected NMR. We find that, unlike the muon, ⁸Li⁺ does not show any signature of induced magnetism. This result is consistent with density functional theory, which identifies the Li stopping site at the 2a Wyckoff position in the van der Waals gap and confirms the absence of detectable Li-induced electronic spin polarization. Both the spin-lattice relaxation and the resonance lines show evidence of strong spin dynamics above ∼200 K, reminiscent of local stochastic ⁸Li⁺ motion within a cage. The resonance line shape consists of quadrupolar satellites on top of a broad central peak. To better understand the interaction of 8Li+ with the host material, we employ a frequency-comb measurement, by simultaneously exciting four frequencies corresponding to the first-order quadrupolar satellite transitions, ν₀ ± 3ν_comb and ν₀ ± ν_comb around the Larmor frequency ν₀ as a function of ν_comb. This offers an enhanced sensitivity to the quadrupolar split portion of the line. Using this method, we find a small decrease of the quadrupolar frequency with increasing temperature, showing the typical behavior associated with thermally excited phonons and the absence of any magnetic response which was observed with other defects in 2H-MoTe₂.
: arXiv:2601.20444 [cond-mat.mtrl-sci]

2020

Title: Digging into MUD with Python: mudpy, bdata, and bfit
Author: D. Fujimoto
Abstract: Used to store the results of μSR measurements at TRIUMF, the Muon Data (MUD) file format serves as a useful and flexible scheme that is both lightweight and self-describing. The application programming interface (API) for these files is written in C and FORTRAN, languages not known for their ease of use. In contrast, Python is a language which emphasizes rapid prototyping and readability. This work describes three Python 3 packages to interface with MUD files and analyze their contents: mudpy, bdata, and bfit. The first enables easy access to the contents of any MUD file. The latter two are implemented specifically for the implanted-ion β-detected NMR (β-NMR) experiment at TRIUMF. These tools provide both an API and graphical user interface (GUI) to help users extract and fit β-NMR data.
: arXiv:2004.10395 [physics.data-an]